EFPI光纤传感瓦斯浓度信号的小波降噪研究

    Research on Wavelet Noise Reduction of EFPI Fiber Sensing Gas Concentration Signal

    • 摘要: 非本征法布里-珀罗干涉(EFPI)光纤传感瓦斯是一种新型的检测技术,凭借其低成本、易复用、高灵敏度、抗干扰等特点的优势被广泛应用于各领域。由于采集得到的干涉光谱是非限带信号,利用低通滤波器无法对非限带信号进行去噪处理,选用小波变换,首先对光谱信号作层层小波分解,选取合理阈值滤除每层信号中高频成分,最后利用小波重构恢复去噪后的光谱信号。通过在线仿真,结果表明小波变换可以很好的实现干涉光谱信号的去噪,提高了整个光纤瓦斯传感系统的性能和稳定性。

       

      Abstract: Non levy Fabry-Perot interferometer(EFPI)optic fiber sensing gas is a new detection technology, with the advantages of low-cost, easy to reuse, high sensitivity and interference characteristics, it is widely used in various fields. Because the collected interference spectrum signals are non-band-limited signals, the low-pass filter can not be used to achieve non-band-limited signals denoising. In this paper, choosing wavelet transform(WT), spectrum signals are firstly made wavelet decompositions as layers and a reasonable threshold is selected to filter out the high frequency components in each layer signal, at last, the denoised interference spectrum signals are restored by the wavelet reconstruction. Online simulation and the results show that wavelet transform (WT) can be well used to achieve interference spectrum signal denoising, which improves the performance and stability of the entire optical fiber gas sensing system.

       

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